scholarly journals Children construct novel word meaning ad-hoc based on known words: Computational model of shape and material biases

2007 ◽  
Vol 8 (2) ◽  
pp. 110-130
Author(s):  
Kosuke Kurosaki ◽  
Takashi Omori
Keyword(s):  
Computational Model ◽  
Ad Hoc ◽  
Word Meaning

Using Speakers' Referential Intentions to Model Early Cross-Situational Word Learning

2009 ◽  
Vol 20 (5) ◽  
pp. 578-585 ◽  
Author(s):  
Michael C. Frank ◽  
Noah D. Goodman ◽  
Joshua B. Tenenbaum
Keyword(s):  
Computational Model ◽  
Word Learning ◽  
Word Meaning ◽  
Mutual Exclusivity ◽  
Object Individuation ◽  
Word Meanings ◽  
Inference Problems ◽  
Corpus Data ◽  
Situational Learning

Word learning is a “chicken and egg” problem. If a child could understand speakers' utterances, it would be easy to learn the meanings of individual words, and once a child knows what many words mean, it is easy to infer speakers' intended meanings. To the beginning learner, however, both individual word meanings and speakers' intentions are unknown. We describe a computational model of word learning that solves these two inference problems in parallel, rather than relying exclusively on either the inferred meanings of utterances or cross-situational word-meaning associations. We tested our model using annotated corpus data and found that it inferred pairings between words and object concepts with higher precision than comparison models. Moreover, as the result of making probabilistic inferences about speakers' intentions, our model explains a variety of behavioral phenomena described in the word-learning literature. These phenomena include mutual exclusivity, one-trial learning, cross-situational learning, the role of words in object individuation, and the use of inferred intentions to disambiguate reference.

CELLULAR AUTOMATA AS A COMPUTATIONAL MODEL FOR LOW-LEVEL VISION

1993 ◽  
Vol 04 (01) ◽  
pp. 5-16 ◽  
Author(s):  
ALBERTO BROGGI ◽  
VINCENZO D'ANDREA ◽  
GIULIO DESTRI
Keyword(s):  
Cellular Automata ◽  
Computational Model ◽  
Ad Hoc ◽  
Parallel Architecture ◽  
General Purpose ◽  
Massively Parallel ◽  
Low Level ◽  
Actual Application ◽  
Computer Vision Applications ◽  
Hard Real Time

In this paper we discuss the use of the Cellular Automata (CA) computational model in computer vision applications on massively parallel architectures. Motivations and guidelines of this approach to low-level vision in the frame of the PROMETHEUS project are discussed. The hard real-time requirement of actual application can be only satisfied using an ad hoc VLSI massively parallel architecture (PAPRICA). The hardware solutions and the specific algorithms can be efficiently verified and tested only using, as a simulator, a general purpose machine with a parent architecture (CM-2). An example of application related to feature extraction is discussed.

Die COVID-19-Pandemie im akutstationären Setting aus Sicht von Führungspersonen und Hygienefachkräften in der Pflege

Pflege ◽  
2020 ◽  
Vol 33 (5) ◽  
pp. 289-298
Author(s):  
Katharina Silies ◽  
Angelika Schley ◽  
Janna Sill ◽  
Steffen Fleischer ◽  
Martin Müller ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Qualitative Studie ◽  
Skill Mix ◽  
Task Forces

Zusammenfassung. Hintergrund: Die COVID-19-Pandemie ist eine Ausnahmesituation ohne Präzedenz und erforderte zahlreiche Ad-hoc-Anpassungen in den Strukturen und Prozessen der akutstationären Versorgung. Ziel: Ziel war es zu untersuchen, wie aus Sicht von Führungspersonen und Hygienefachkräften in der Pflege die stationäre Akutversorgung durch die Pandemiesituation beeinflusst wurde und welche Implikationen sich daraus für die Zukunft ergeben. Methoden: Qualitative Studie bestehend aus semistrukturierten Interviews mit fünf Verantwortlichen des leitenden Pflegemanagements und drei Hygienefachkräften in vier Krankenhäusern in Deutschland. Die Interviews wurden mittels qualitativer Inhaltsanalyse ausgewertet. Ergebnisse: Die Befragten beschrieben den auf die prioritäre Versorgung von COVID-19-Fällen hin umstrukturierten Klinikalltag. Herausforderungen waren Unsicherheit und Angst bei den Mitarbeiter_innen, relative Ressourcenknappheit von Material und Personal und die schnelle Umsetzung neuer Anforderungen an die Versorgungleistung. Dem wurde durch gezielte Kommunikation und Information, massive Anstrengungen zur Sicherung der Ressourcen und koordinierte Steuerung aller Prozesse durch bereichsübergreifende, interprofessionelle Task Forces begegnet. Schlussfolgerungen: Die in der COVID-19-Pandemie vorgenommenen Anpassungen zeigen Entwicklungspotenziale für die zukünftige Routineversorgung auf, z. B. könnten neue Arbeits- und Skill Mix-Modelle aufgegriffen werden. Für die Konkretisierung praktischer Implikationen sind vertiefende Analysen der Daten mit zeitlichem Abstand erforderlich.

Tests und Tools

2006 ◽  
Vol 5 (2) ◽  
pp. 68-71 ◽  
Author(s):  
Simone Kauffeld
Keyword(s):  
Ad Hoc ◽  
Non Profit

Zusammenfassung. Der FEO, der in Kooperation mit betrieblichen Praktikern entwickelt wurde, dient der Erfassung des Organisationsklimas. Er umfasst 82 Items und bildet 12 Skalen ab. Eine Stärke des FEO im Gegensatz zu ad hoc entwickelten Befragungsinstrumenten sind die Vergleichsdaten, die für Profit- und Non-Profit-Organisationen bereit gestellt werden. Kritisch diskutiert wird die theoretische Verortung, die Anwenderfreundlichkeit sowie der Nutzen der individuellen Auswertung. Die konsensuale, konvergente, diskriminante und kriterienbezogene Validierung steht aus.

Test Use in Spain, Portugal and Latin American Countries

1999 ◽  
Vol 15 (2) ◽  
pp. 151-157 ◽  
Author(s):  
José Muñiz ◽  
Gerardo Prieto ◽  
Leandro Almeida ◽  
Dave Bartram
Keyword(s):  
Latin American ◽  
Ad Hoc ◽  
Task Force ◽  
Test Construction ◽  
European Federation ◽  
Psychometric Characteristics ◽  
Testing Practices ◽  
Professional Psychologists ◽  
Test Use ◽  
Latin American Countries

Summary: The two main sources of errors in educational and psychological evaluation are the lack of adequate technical and psychometric characteristics of the tests, and especially the failure to properly implement the testing process. The main goal of the present research is to study the situation of test construction and test use in the Spanish-speaking (Spain and Latin American countries) and Portuguese-speaking (Portugal and Brazil) countries. The data were collected using a questionnaire constructed by the European Federation of Professional Psychologists Association (EFPPA) Task Force on Tests and Testing, under the direction of D. Bartram . In addition to the questionnaire, other ad hoc data were also gathered. Four main areas of psychological testing were investigated: Educational, Clinical, Forensic and Work. Key persons were identified in each country in order to provide reliable information. The main results are presented, and some measures that could be taken in order to improve the current testing practices in the countries surveyed are discussed. As most of the tests used in these countries were originally developed in other cultures, a problem that appears to be especially relevant is the translation and adaptation of tests.

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